Package: LZeroSpikeInference 1.0.5
LZeroSpikeInference: Exact Spike Train Inference via L0 Optimization
An implementation of algorithms described in Jewell and Witten (2017) <arxiv:1703.08644>.
Authors:
LZeroSpikeInference_1.0.5.tar.gz
LZeroSpikeInference_1.0.5.zip(r-4.5)LZeroSpikeInference_1.0.5.zip(r-4.4)LZeroSpikeInference_1.0.5.zip(r-4.3)
LZeroSpikeInference_1.0.5.tgz(r-4.4-any)LZeroSpikeInference_1.0.5.tgz(r-4.3-any)
LZeroSpikeInference_1.0.5.tar.gz(r-4.5-noble)LZeroSpikeInference_1.0.5.tar.gz(r-4.4-noble)
LZeroSpikeInference_1.0.5.tgz(r-4.4-emscripten)LZeroSpikeInference_1.0.5.tgz(r-4.3-emscripten)
LZeroSpikeInference.pdf |LZeroSpikeInference.html✨
LZeroSpikeInference/json (API)
| # Install 'LZeroSpikeInference' in R: |
| install.packages('LZeroSpikeInference', repos = c('https://jewellsean.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jewellsean/lzerospikeinference/issues
changepointdynamic-programminglassoneurosciencestatistics
Last updated 6 years agofrom:7f565af6dd. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | NOTE | Nov 01 2024 |
| R-4.5-linux | NOTE | Nov 01 2024 |
| R-4.4-win | NOTE | Nov 01 2024 |
| R-4.4-mac | NOTE | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:cv.estimateSpikesestimateSpikessimulateAR1
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-validate and optimize model parameters | cv.estimateSpikes |
| Estimate spike train, underlying calcium concentration, and changepoints based on fluorescence trace. | estimateSpikes |
| LZeroSpikeInference: LZeroSpikeInference: A package for estimating spike times from calcium imaging data using an L0 penalty | LZeroSpikeInference-package LZeroSpikeInference |
| Plot mean squared error vs. tuning parameter from the cross-validation output | plot.cvSpike |
| Plot the solution to an L0 segmentation problem | plot.estimatedSpikes |
| Plot simulated data | plot.simdata |
| Print CV results | print.cvSpike |
| Print estimated spikes | print.estimatedSpikes |
| Print simulated data | print.simdata |
| Simulate fluorescence trace based on simple AR(1) generative model | simulateAR1 |
